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A Photogrammetry Software as a Tool for Precision Agriculture: A Case Study

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Technologies and Innovation (CITI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 749))

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Abstract

Traditionally, agriculture is practiced by performing tasks such as planting or harvesting against a predetermined schedule. However, collecting real-time data can help farmers to make the best decisions about planting, fertilizing and harvesting crops. This approach is known as precision agriculture. In this context, interest in technological tools to adapt crop management strategies is growing. Hence, this research aims to analyze and compare the photogrammetry-based tools for the treatment of images in the agricultural domain. Furthermore, a case study of the land of the Agrarian University of Ecuador Experimental Research Center based in Mariscal Sucre, located in Milagro is presented. This study involves taking several photos by means of a drone and analyzing them with a photogrammetric software to obtain an orthophoto. This product can help to perform relative biomass analysis, drought stress, irrigation scheduling, predicting agricultural production, monitoring nutrition, pests and diseases that are affecting the photographed crop.

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Author information

Authors and Affiliations

  1. Facultad de Ciencias Agrarias, Escuela de Ingeniería en Computación e Informática, Universidad Agraria del Ecuador, Avenue 25 de Julio y Pio Jaramillo, P.O. BOX 09-04-100, Guayaquil, Ecuador

    Carlota Delgado-Vera, Maritza Aguirre-Munizaga & Ana Rodríguez-Méndez

  2. Facultad de Ciencias Agrarias, Escuela de Ingeniería en Agronómica, Universidad Agraria del Ecuador, Avenue 25 de Julio y Pio Jaramillo, P.O. BOX 09-04-100, Guayaquil, Ecuador

    Manuel Jiménez-Icaza

  3. Facultad de Ciencias, Campus Universitario de Rabanales, Universidad de Córdoba, Ctra. Madrid-Cádiz Km. 396, 14071, Córdoba, Spain

    Nadia Manobanda-Herrera

Authors
  1. Carlota Delgado-Vera
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  2. Maritza Aguirre-Munizaga
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  3. Manuel Jiménez-Icaza
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  4. Nadia Manobanda-Herrera
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  5. Ana Rodríguez-Méndez
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Corresponding author

Correspondence to Carlota Delgado-Vera .

Editor information

Editors and Affiliations

  1. Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Katty Lagos-Ortiz

  3. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Gema Alcaraz-Mármol

  4. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Javier Del Cioppo

  5. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Néstor Vera-Lucio

  6. Universidad Agraria del Ecuador, Guayaquil, Ecuador

    Martha Bucaram-Leverone

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Delgado-Vera, C., Aguirre-Munizaga, M., Jiménez-Icaza, M., Manobanda-Herrera, N., Rodríguez-Méndez, A. (2017). A Photogrammetry Software as a Tool for Precision Agriculture: A Case Study. In: Valencia-García, R., Lagos-Ortiz, K., Alcaraz-Mármol, G., Del Cioppo, J., Vera-Lucio, N., Bucaram-Leverone, M. (eds) Technologies and Innovation. CITI 2017. Communications in Computer and Information Science, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-319-67283-0_21

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  • DOI: https://doi.org/10.1007/978-3-319-67283-0_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67282-3

  • Online ISBN: 978-3-319-67283-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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